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# coding=utf-8
import csv
import os
import datasets
logger = datasets.logging.get_logger(__name__)
""" Self-use Dataset"""
_CITATION = """\
@article{nothing,
title={Self-use DataSets},
author={Stan}
journal={},
year={2023}
}
"""
_DESCRIPTION = """\
Self-use DataSets
"""
_HOMEPAGE_URL = "https://arxiv.org/abs/2104.08524"
_DATA_URL = "https://asr-1258129568.cos.ap-shanghai.myqcloud.com/DataSets-0.zip"
class Minds14Config(datasets.BuilderConfig):
"""BuilderConfig for xtreme-s"""
def __init__(
self, name, description, homepage, data_url
):
super(Minds14Config, self).__init__(
name=self.name,
version=datasets.Version("1.0.0", ""),
description=self.description,
)
self.name = name
self.description = description
self.homepage = homepage
self.data_url = data_url
def _build_config(name):
return Minds14Config(
name=name,
description=_DESCRIPTION,
homepage=_HOMEPAGE_URL,
data_url=_DATA_URL,
)
class Minds14(datasets.GeneratorBasedBuilder):
DEFAULT_WRITER_BATCH_SIZE = 1000
BUILDER_CONFIGS = [_build_config('demo')]
def _info(self):
task_templates = None
features = datasets.Features(
{
"path": datasets.Value("string"),
"audio": datasets.Audio(sampling_rate=16_000),
"reference": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=("audio", "reference"),
homepage='',
citation=_CITATION,
task_templates=task_templates,
)
def _split_generators(self, dl_manager):
archive_path = dl_manager.download_and_extract(_DATA_URL)
audio_path = dl_manager.extract(
os.path.join(archive_path, "DataSets-0", "audio.zip")
)
text_path = dl_manager.extract(
os.path.join(archive_path, "DataSets-0", "text.zip")
)
text_path ={'demo': os.path.join(text_path, f"demo.csv")}
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"audio_path": audio_path,
"text_paths": text_path,
},
)
]
def _generate_examples(self, audio_path, text_paths):
key = 0
for lang in text_paths.keys():
text_path = text_paths[lang]
with open(text_path, encoding="utf-8") as csv_file:
csv_reader = csv.reader(csv_file, delimiter=",", skipinitialspace=True)
next(csv_reader)
for row in csv_reader:
filepath, reference = row
filepath = os.path.join(audio_path, *filepath.split("/"))
yield key, {
"path": filepath,
"audio": filepath,
"reference": reference,
}
key += 1
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